Real estate portfolio analytics platform for energy and emissions tracking
Scaler targets real estate investors and fund managers with a data consolidation and analytics platform. The tech stack—Python, FastAPI, PostgreSQL, Kafka, RAG—reflects a data-engineering-first approach, while active projects around ML model deployment and backend scaling suggest the company is moving from basic data collection toward predictive analytics and automation. The hiring mix is heavily skewed toward data roles, which tracks with their stated pain around sustainability data utilization and accuracy.
Scaler builds software to aggregate fragmented building data across real estate investment portfolios. The platform centralizes energy consumption, emissions, and operational metrics, surfaces performance outliers, and benchmarks properties against industry standards. Clients use it to reduce operational costs and meet sustainability reporting obligations. Founded in 2022 and based in New York, the company operates at 11–50 people and is currently hiring for data, engineering, and sales roles across the United States, Singapore, Netherlands, and Australia.
Scaler builds on Python, FastAPI, PostgreSQL, Kafka, Redis, and AWS. Front-end relies on Vue, Tailwind CSS, and Vite. They use RAG for AI features, Docker for containerization, and GitHub + Linear for development workflows.
Current projects include AI automation integration, machine learning model deployment, sustainability data collection workflows, backend architecture scaling, and visualization development. They're also focused on client onboarding and scalable playbook design.
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